no code implementations • 22 Apr 2023 • Daizhan Cheng, Xiao Zhang, Zhengping Ji
The first kind of representation is state-based, which converts a BCN into a TS with either distinct control or non-distinct control.
no code implementations • 25 Mar 2023 • Zhengping Ji, Xiao Zhang, Daizhan Cheng
Then the overall network can be approximated by the quotient systems of each blocks, which is called the aggregated simulation.
no code implementations • 11 Mar 2023 • Daizhan Cheng, Xiao Zhang, Zhengping Ji
Some basic properties of the STP of matrices are extended to the STP of hypermatrices.
no code implementations • 1 Sep 2022 • Daizhan Cheng, HongSheng Qi, Xiao Zhang, Zhengping Ji
Finally, the relationship between state invariant subspace and dual invariant subspace of a network is investigated.
no code implementations • 9 Jun 2022 • Daizhan Cheng, Zhengping Ji
Starting from the vector multipliers, the inner product, norm, distance, as well as addition of two vectors of different dimensions are proposed, which makes the spaces into a topological vector space, called the Euclidean space of different dimension (ESDD).
no code implementations • 25 Nov 2021 • Xiao Zhang, Zhengping Ji, Daizhan Cheng
It is a common belief that the order of a Boolean network is mainly determined by its attractors, including fixed points and cycles.
no code implementations • 13 Oct 2021 • Daizhan Cheng
Using DP, the control problems of a control network are investigated via its sub control networks.
no code implementations • 29 Apr 2021 • Biao Wang, Jun-e Feng, Daizhan Cheng
A new analytical framework consisting of two phenomena: single sample and multiple samples, is proposed to deal with the identification problem of Boolean control networks (BCNs) systematically and comprehensively.
no code implementations • 18 Apr 2021 • Daizhan Cheng, Lijun Zhang, Dongyao Bi
Then the invariant subspace of Boolean control network (BCN) is also proposed.
